Warehouse pallet pick teleoperation capture

This is a custom capture program for teleoperated pallet picking in operational warehouse aisles. Human operators demonstrate picks across varied SKUs and stack heights while we record synchronized multi-camera RGB-D and gripper state, tagged with grasp outcomes and SKU metadata. It exists because simulation rarely reproduces the packaging variance, occlusion, and lighting of a real warehouse, where most pick policies actually fail.

What we collect

Human-guided pallet picks with synchronized depth and gripper state across varied SKUs, stack heights, and aisle positions. Episodes capture clean picks alongside slips, regrasps, and misses so your evaluation reflects real pick success, not a sanitized subset.

Sensors and modalities

Multi-camera RGB-D plus proprioception and gripper state, time-aligned through our multi-sensor synchronization service so observations and actions correspond exactly. Calibration files ship with every program.

How capture works

A pilot week validates the camera rig and labeling schema, then capture scales across shifts with grasp-success QA. The workflow follows our standard robotics data collection process: scope, pilot, scale, handoff.

QA and metadata

Each episode carries SKU class, grasp outcome, aisle ID, stack height, and lighting tags. QA gates cover time-sync tolerances, calibration checks, and metadata completeness against the acceptance criteria agreed during scoping.

Who it is for

Teams improving pick policies where simulation misses real packaging variance, particularly groups working on warehouse automation and imitation-learning pipelines. Pairs naturally with warehouse conveyor handoff capture for end-to-end material flow.